Data Scientist

Cornucopia IT Resourcing; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Equity options

Benefits

Job summary

Cornucopia IT Resourcing Limited is partnering with a fast-growing AI startup to hire a Data Scientist – Applied AI for Commercial Insurance. The role is London-based with hybrid working arrangements and offers equity options plus benefits.

You will design LLM prompt pipelines, work with long, unstructured claim documents, and build evaluation frameworks. You’ll ship Python data pipelines in Azure and Postgres, with GitHub for version control, and support client pilots to drive product

Qualifications

• Strong Insurtech/insurance experience within a startup/greenfield environment as a hands on.
• Hands-on experience with LLMs or prompt-driven systems in production.
• Proficient in Python for data pipelines, orchestration and evaluation.
• Familiarity with Git, SQL (Postgres) and cloud environments (Azure).
• Experience in client-facing technical roles or implementations.

Responsibilities

• Designing and iterating LLM prompt pipelines (claims summarisation, audit, fraud/leakage detection, coverage checks).
• Working directly with long, unstructured claim documents (PDFs, reports, adjuster notes).
• Building evaluation frameworks to validate AI outputs against real evidence.
• Identifying hallucinations, bias and gaps in reasoning.
• Writing Python for data pipelines, orchestration and evaluation.
• Querying Postgres, working in Azure environments, using GitHub.
• Supporting client pilots and translating feedback into product improvements.
• Using AI coding tools (Copilot, Cursor, LLMs) to accelerate development.

Skills

Data Science in Insurtech

LLMs and prompt engineering

Python programming

Cloud computing (Azure)

Tools

PostgreSQL

Git

Azure

Job description

Data Scientist – Applied AI (Commercial Insurance)

London/ Hybrid

£90-£120k per year+ equity options + benefits

Our client is a fast-growing AI startup building next generation decision intelligence tools for the commercial insurance market.

Their flagship platform analyses complex claims to identify leakage, litigation risk, fraud indicators, coverage issues and operational weaknesses — turning unstructured documents into structured, actionable insight. They operate at the cutting edge of applied GenAI, working direly with insurers, managing agents and TPAs in the Lloyd’s and US markets.

This is a hands-on, high-impact role in a fast, iterative startup environment.

What You’ll Be Doing

Designing and iterating LLM prompt pipelines (claims summarisation, audit, fraud/leakage detection, coverage checks)

Working directly with long, unstructured claim documents (PDFs, reports, adjuster notes)

Building evaluation frameworks to validate AI outputs against real evidence

Identifying hallucinations, bias and gaps in reasoning

Writing Python for data pipelines, orchestration and evaluation

Querying Postgres, working in Azure environments, using GitHub

Supporting client pilots and translating feedback into product improvements

Using AI coding tools (Copilot, Cursor, LLMs) to accelerate development

What We’re Looking For

• Strong Insurtech/insurance experience within a startup/greenfield environment as a hands on
• Data Scientist.
• Hands on experience working with LLMs or prompt-driven systems in production
• Comfortable with Git, SQL (Postgres) and cloud environments (Azure )
• Client-facing technical roles or implementations